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Indonesia Financial Data MCP

by agentpixelated
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Python
Remote

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Alternatives to Indonesia Financial Data MCP

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    • jv-idx-mcp

      ibpme
      F
      license
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      quality
      D
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    • idx

      fzn0x
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      quality
      A
      maintenance
      Enables AI agents to query Indonesian stock market (IDX/IHSG) data through typed MCP tools covering quotes, history, financials, earnings, dividends, returns, fundamentals, technicals, screening, news sentiment, and KSEI ownership records. Runs over stdio or streamable HTTP, returning the same stable JSON envelopes as the CLI.
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    • SohiB

      yusufsiregar44
      A
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      A
      quality
      C
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      A local MCP server that lets AI agents research Indonesian equities through your own signed-in Stockbit session using read-only tools for company data, financials, price history, analyst consensus, screening, and more.
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    • idx-market-mcp

      mpandudc
      A
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      A
      quality
      C
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      Enables AI agents to access Indonesian Stock Exchange market data, including Level 2 orderbooks, bandarmology, financials, chart pattern recognition, and quantitative risk budgeting.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.3/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool is clearly scoped to a specific data source (bps_, idx_, ksei_) and a distinct operation (e.g., get_data vs list_subjects). No two tools overlap in purpose; even similar operations like 'list' targets different entities across sources.

    Naming Consistency5/5

    All tool names follow a consistent snake_case format with a source prefix (bps_, idx_, ksei_) and a descriptive verb_noun pattern. The naming is predictable and unambiguous.

    Tool Count5/5

    With 10 tools covering three distinct data sources plus a health check, the count is well-balanced. It covers core operations without being overwhelming or too sparse.

    Completeness4/5

    The tool set covers the main workflows for each data source: listing entities, retrieving details, and fetching data. The BPS tools lack an explicit period listing (implied by get_data parameters), and IDX lacks trading data, but the coverage is reasonable for the stated domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources